模型

浏览来自所有提供商的 3 个标准化 LLM 模型

显示第 1–3 项,共 3 个模型

MiniMax M3

中国

MiniMax's frontier open-weight model with 1M-token context window, native multimodality (text, image, video), and strong coding capabilities. Built on MiniMax Sparse Attention (MSA) architecture, achieving 59% on SWE-Bench Pro with significantly improved efficiency at long context.

上下文
1.0M
发布日期
2026年6月

Qwen 3.6 27B

中国

Alibaba's dense 27B parameter model that outperforms its own 397B MoE predecessor on agentic coding benchmarks. Strong multilingual and reasoning capabilities released under Apache 2.0.

上下文
131K
发布日期
2026年4月

Qwen 3.6 35B-A3B

中国

Alibaba's efficient Mixture-of-Experts model with 35B total parameters and 3B active per token. Frontier-level agentic coding performance with 73.4% on SWE-bench Verified and 92.7 on AIME 2026. Released under Apache 2.0.

上下文
131K
发布日期
2026年4月